hyperparameter-tuning
100 / 100 · Low risk
Fine to try.
Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget. Use when the user requests hyperparameter tuning or provides relevant inputs for this workflow.
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'hyperparameter-tuning' ] || [ -L ~/.agents/skills/'hyperparameter-tuning' ]; then echo 'A skill folder named hyperparameter-tuning already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/seb1n/awesome-ai-agent-skills' "$d" && git -C "$d" checkout --quiet '75865a5d037a4cdaa7f409a4ec14ab9b0292920b' -- 'ai-ml-operations/hyperparameter-tuning' && mkdir -p ~/.agents/skills && cp -R "$d"/'ai-ml-operations/hyperparameter-tuning' ~/.agents/skills/'hyperparameter-tuning' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'hyperparameter-tuning' ~/.claude/skills/'hyperparameter-tuning' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/seb1n/awesome-ai-agent-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-07 | 75865a5 | 100 |